Wavelet Transform in Image Processing : Denoising, Segmentation and Compression of Digital Images
نویسنده
چکیده
Wavelet transform is a one of the most powerful concept used in image processing. Wavelet transform can divide a given function into different scale components and can find out frequency information without losing temporal information. Wavelet Transform is more suitable technique as compared to fourier transform because it is not possible with fourier transform to observe varying frequencies with time. Image processing is simply a processing of images or digital images in which processing is a collection of number of steps like denoising, segmentation, compression, representation and recognition. This paper will introduce basic concept of wavelet transform and use of wavelet transform in image denoising, image segmentation and image compression.
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